Automated traffic sign change detection using low-cost LiDAR scans and unsupervised machine learning

Current practices in traffic sign monitoring heavily rely on manual inspections, a method that is both time-consuming and prone to human error. This leads to inefficiencies in the management and maintenance of these critical roadside assets. The objective of this work is to overcome these limitation...

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